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001-es BibID:	BIBFORM124167
Első szerző:	Goddiksen, Mads Paludan
Cím:	The dark side of text-matching software : worries and counterproductive behaviour among European upper secondary school and bachelor students / Mads Paludan Goddiksen, Mikkel Willum Johansen, Anna Catharina Vieira Armond, Mateja Centa, Christine Clavien, Eugenijus Gefenas, Nóra Kovács, Marcus Tang Merit, I. Anna S. Olsson, Margarita Poškutė, Júlio Borlido Santos, Rita Santos, Vojko Strahovnik, Orsolya Varga, P. J. Wall, Peter Sande, Thomas Bøker Lund
Dátum:	2024
ISSN:	1833-2595
Megjegyzések:	Text-matching software (TMS) is a standard part of efforts to prevent and detect plagiarism in upper secondary and higher education. While there are many studies on the potential benefits of using this technology, few studies look into potential unintended side effects. These side effects include students worrying about being accused of plagiarism due to TMS output, even though they did not intentionally plagiarise. Although such worries are frequently mentioned in the literature, little is known about how prevalent they are, why they occur and how students react to them. This paper aims to fill this knowledge gap. The data for the study comprise 36 interviews with upper secondary and Bachelor students from three European countries combined with survey data from 3,424 students from seven European countries representing a broad range of disciplines. The study found that a substantial proportion of the two groups of students ? 47% of upper secondary and 55% of Bachelor students ? had experienced TMS-related worries during their current studies. Furthermore, there were substantial differences across countries. Students worry partly because they have a poor understanding of how TMS is used in their institution, and partly because they know that plagiarism is taken very seriously. The study shows that TMS-related worries can lead students to become very focused on not being caught plagiarising, to such an extent that some adopt citation practices that they believe are suboptimal. The paper concludes that institutions using TMS should always combine it with training for students and teachers. Students should be clearly informed about how TMS is used and should develop an understanding of plagiarism and good citation practice that goes beyond the narrow focus on any overlap between texts elicited by the software.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Plagiarism Plagiarism detection software Text-matching software Academic integrity
Megjelenés:	International Journal for Educational Integrity. - 20 : 15 (2024), p. 1-18. -
További szerzők:	Johansen, Mikkel Willum Armond, Anna Catharina Vieira (1988-) (PhD hallgató) Centa, Mateja Clavien, Christine Gefenas, Eugenijus Kovács Nóra (1989-) (népegészségügyi szakember) Merit, Marcus Tang Olsson, I. Anna Poškuté, Margarita Santos, Júlio Borlido Santos, Rita Strahovnik, Vojko Varga Orsolya (1977-) (orvos, jogász) Wall, P. J. Sande, Peter Lund, Thomas Bøker
Pályázati támogatás:	European Union's Horizon 2020 No. 824586 Egyéb
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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